电子邮件： duanws@lasg.iap.ac.cn
通信地址： 北京9804信箱
邮政编码： 100029
研究方向
海气相互作用，天气、气候可预报性，集合预报，目标观测等
招生信息
欢迎有志于从事天气、气候动力学及可预报性研究的青年教师及学生（本科生及硕士研究生）报考
招生专业
招生方向
教育背景
工作经历
2019-08~2019-08,Royal Meteorological Institute of Belgium, 高访
2017-07~2017-08,University of Northern British Columnbia, Prince Geoger, Canada, 高级访问学者
2016-01~现在, 中国科学院, 特聘研究员
2015-01~现在, 中国科学院大学, 岗位教授
2014-03~2014-04,澳大利亚CSRIO, 高级访问学者
2010-01~现在, 中科院大气物理研究所, 研究员
2006-11~2010-01,中科院大气物理研究所, 副研究员
2003-07~2006-11,中科院大气物理研究所, 助理研究员
教授课程
发表论文
(1) Coupled Conditional Nonlinear Optimal Perturbations and its applications to ENSO ensemble forecasts. SCIENCE CHINA Earth Sciences, 2023, to be submitted. 耦合条件非线性最优扰动及其在ENSO集合预报研究中的应用。 段晚锁、胡蕾和冯蓉。中国科学：地球科学，2023, 二审中。通讯作者。
(2) The Sensitive Area for Targeting Observations of Paired Mesoscale Eddies associated with Sea Surface Height Anomaly Forecasts. Jiang Lin, Duan Wansuo, Wang Hui, JGR-Ocean, 2023, Submitted。通讯作者。
(3) Westward-Propagating Disturbances Shape Diverse MJO Propagation. Geophysical Research Letters, 2023, doi: 10.1029/2023GL104778.
(4) Spatiotemporal estimation of analysis errors in the operational global data assimilation system at the China Meteorological Administration using a modified SAFE method. Quarterly Journal of Royal Meteorological Society, 2023, https://doi.org/10.1002/qj.4507
(5) Evaluating the joint effect of tropical and extratropical Pacific initial errors on two types of El Niño prediction using particle filter approach. Journal of Marine Science and Engineering, 2023,11(7), 1292.通讯作者
(6) An approach to refining the ground meteorological observation stations for improving PM2.5 forecasts in Beijing-Tianjin-Hebei region. Geoscientific Model Development, 2023, 16, 3827–3848. 通讯作者
(7) Recent advances in China on the predictability studies of weather and climate. . Advances in Atmospheric Science, 2023, 40(8), 1521−1547. 第一作者
(8)Evaluation of the sensitivity on mesoscale eddy associated with the sea surface height anomaly forecasting in the Kuroshio Extension. Frontiers in Marine Science, 2023, 10:1097209. doi: 10.3389/fmars.2023.1097209.通讯作者
(9)A multi-model prediction system for ENSO. Science China Earth Sciences, 2023, 66, https://doi.org/10.1007/s11430-022-1094-0..一个ENSO多模式集合预报系统介绍。中国科学：地球科学，2023， 53(6): 1235-1245.
(10)Role of the thermodynamic structure of the inner core in predicting the intensification of Hurricane Patricia (2015). J. Geophys. Res. Atmos., 2023.https://doi.org/10.1029/2023JD038645
(11) Impact of the low wavenumber structure in the initial vortex wind analyses on the prediction of the intensification of Hurricane Patricia (2015). J. Geophys. Res. Atmos., 2022, 128, e2022JD037082.
(12)2022 年汛期气候趋势预测与展望。气候与环境研究，2022, 27(4), 547-558。
(13)Distinct effects of initial and model parametric uncertainties on El Niño predictions associated with spring predictability barrier, Climate Dynamics, 2023, submitted.
(14)Impacts of Initial Zonal Current Errors on the Predictions of Two Types of El Niño Events, Journal of Geophysical Research: Oceans, 128, e2023JC019833.
(15)A New Approach to Represent Model Uncertainty in forecasting Tropical Cyclones: The Orthogonal Nonlinear Forcing Singular Vectors. Quarterly Journal of Royal Meteorological Society, 2023, in press. https://doi.org/10.1002/qj.4502. 通讯作者
(16) Using the orthogonal conditional nonlinear optimal perturbations approach to address the uncertainties of tropical cyclone track forecasts generated by the WRF model. Weather and Forecasting, 2023, accepted. 通讯作者
(17)Using an ensemble nonlinear forcing singular vector data assimilation approach to address the challenge of ENSO forecasts posed by "spring predictability barrier" and El Nino diversity. Climate Dynamics, 2023, https://doi.org/10.1007/s00382-023-06834-3. 通讯作者
(18) Impact of the low wavenumber structure in the initial vortex wind analyses on the prediction of the intensification of Hurricane Patricia (2015). J. Geophys. Res. Atmos., 2022, 128, e2022JD037082..
(17)Seasonally Alternate Roles of the North Pacific Oscillation and the South Pacific Oscillation in Tropical Pacific Zonal Wind and ENSO. Journal of Climate, 2023. https://doi.org/10.1175/JCLI-D-22-0461.1
(18)Effects of dropsonde data in field campaigns on forecasts of tropical cyclones over the western North Pacific in 2020 and role of CNOP sensitivity. Advances in Atmospheric Sciences, 2022. 通讯作者
(19)An ensemble forecasting method for dealing with the combined effect of the initial errors and the model errors and a potential deep learning implementation. Mon. Wea. Rev., 2022 第一作者
(20)Evaluation and Projections of Precipitation Extremes using a Spatial Extremes Framework. International Journal of Climatology. 2022
(21)Toward targeted observations of the meteorological initial state for improving the PM2.5 forecast of a heavy haze event that occurred in the Beijing-Tianjin-Hebei region. Atmospheric Chemistry and Physics, 2022. 通讯作者
(22)A new approach to data assimilation for numerical weather forecasting and climate prediction. Journal of Applied Analysis and Computation. 2022. 第一作者
(23)非线性最优扰动方法在热带气旋目标观测研究和外场试验中的应用。地球科学进展，2022
(24)Toward an optimal observational array for improving two flavors of El Niño predictions in the whole Pacific. Climate Dynamics, 2022.
(25)The different relationships between ENSO spring Persistence Barrierand Predictability Barrier. Journal of Climate, 2022.
(26)台风集合预报研究进展综述。大气科学学报，2022, 45(5), 713-727。
(27)The Deep Learning Galerkin Method for the General Stokes Equations. Li Jian, Jing Yue, Zhang Wen, and Duan Wansuo, Journal of Scientific Computing, 2022, 93, 5, https://doi.org/10.1007/s10915-022-01930-8.
(28)伴随敏感性方法、第一奇异向量方法以及条件非线性最优扰动方法在台风目标观测敏感区识别中的比较研究，周菲凡, 叶一苇, 段晚锁, 等.大气科学, 2022，46(X): 1−14.
(29)Complex network analysis of fine particulate matter (PM2.5): transport and clustering, Na Ying, Duan Wansuo, Zhao Zhidan, Fan Jingfang, Earth System Dynamics. 2022. 13, 1029-1039
(30)The most sensitive initial error of sea surface height anomaly forecasts and its implication for target observations of mesoscale eddies. J. Physical Oceanography. 2022.
(31)台风强度模拟的海温目标观测研究，大气科学，2022. 通讯作者
(32)近海台风立体协同观测科学试验进展, 地球科学进展，2022，37(8)：771-785。
(33)A precursory signal of the Central Pacific El Niño event: Eastern Pacific cooling mode. J. Climate. 2021
(34)Model errors of an intermediate model and their effects on realistic predictions of El Niño diversity.JGR-Atmosphere, 2021.
(35)Using Conditional Nonlinear Optimal Perturbation to Generate Initial Perturbations in ENSO Ensemble Forecasts. Weather and Forecasting. 2021. 通讯作者
(36)How does El Nino affect predictability barrier of its accompanied positive Indian Ocean Dipole event? J. Marine Sciences and Engineering. 2021. 通讯作者
(37)The most sensitive initial error modes modulating intensities of CP- and EP- El Niño events. Dynamics of Atmospheres and Oceans, 2021, 通讯作者
(38)Interdecadal change in the relationship between boreal winter North Pacific Oscillation and Eastern Australian rainfall in the following autumn. Climate Dynamics. 2021.
(39)The Initial Errors in the Tropical Indian Ocean that Can Induce a Significant “Spring Predictability Barrier” for La Niña Events and Their Implication for Targeted Observations. Advances in Atmospheric Sciences, 2021.
(40)On the sensitive areas for targeted observations in ENSO forecasting, AOSL, 2021. 通讯作者
(41)Typhoon intensity forecasting based on LSTM using the rolling forecast method, Algorithms，2021
(42)Optimally growing initial errors of El Nino events in the CESM, 2021, Climate Dynamics
(43)Which features of the SST forcing error are most likely to disturb the simulation of tropical cyclone intensity? Adavnces in Atmospheric Sciences, 2021. 通讯作者
(44)Forecast uncertainty of rapid intensification of typhoon Dujuan (201521) induced by uncertainty in the boundary layer. Atmosphere, 2020. 通讯作者
(45)Model forecast error correction based on the Local Dynamical Analog method: an1example application to the ENSO forecast by an Intermediate Coupled Model. Geophysical Research Letters. 2020.
(46)Predictable patterns of wintertime surface air temperature in Northern Hemisphere and their predictability sources in SEAS5, Journal of Climate, 2020
(47)Improving forecasts of El Niño diversity: a nonlinear forcing singular vector approach. Climate Dynamics, 2020. 通讯作者
(48)On the use of near-neutral backward Lyapunov vectors to get reliable ensemble forecasts in coupled ocean-atmosphere systems. Climate Dynamics, 2020
(49) Sensitivity on tendency perturbations of tropical cyclone short-range intensity forecasts generated by WRF. Advances in Atmospheric Sciences, 2020
(50)Errors in current velocity in the low-latitude north Pacific: results from the regional ocean modeling system. Advances in Atmospheric Sciences, 2019.通讯作者
(51)近海台风立体协同观测科学试验。地球科学进展，2019。
(52)Exploring sensitive area in the tropical Indian Ocean for the El Nino predictions: an implication for targeted observation. Journal of Oceanology and Limnology, 2019. 通讯作者
(53)Using a nonlinear forcing singular vector approach to reduce model error effects in ENSO forecasting. Weather and Forecasting, 2019. 通讯作者
(54)始扰动振幅和集合样本数对CNOPs集合预报的影响。大气科学，2019，已接收。通讯作者
(55)Season-dependent predictability barrier for two types of El Niño-Southern Oscillation events revealed by an approach to data analysis for predictability. Climate Dynamics, 2019. 通讯作者
(56)数值天气预报、气候预测的集合预报方法：思考与展望。气候与环境研究，2019。第一作者
(57)Indian Ocean Dipole-related predictability barriers induced by initial errors in the tropical Indian Ocean in a CGCM. Advances in Atmospheric Sciences, 2019. 通讯作者
(58)Season-dependent predictability and error growth dynamics for La Niña predictions. Climate Dynamics, 2019. 通讯作者
(59)The Initial Condition Errors Occurring in the Indian Ocean Temperature That Cause “Spring Predictability Barrier” for El Niño in the Pacific Ocean. JGR-Ocean, 2019. 通讯作者
(60)Ensemble forecasts of tropical cyclone track with orthogonal conditional nonlinear optimal perturbations. Advances in Atmospheric Sciences, 2019. 通讯作者
(61)The role of initial signals in the tropical Pacific Ocean in predictions of negative Indian Ocean Dipole events. SCIENCE CHINA Earth Sciences. 2018. 通讯作者
(62) Progress in ENSO prediction and predictability study. National Science Review. 2018.
(63)Asymmetry of the predictability limit of the warm ENSO phase. Geophysical Research Letters. 2018.
(64)The application of the orthogonal conditional nonlinear optimal perturbations method to typhoon track ensemble forecasts. SCIENCE CHINA Earth Sciences. 2018. 通讯作者
(65)Impact of SST anomaly events over the Kuroshio-Oyashio Extension on the "summer prediction barrier".Advances in Atmospheric Sciences, 2018.
(66)北京地区一次空气重污染过程的目标观测分析[J]. 气候与环境研究. 2018. 通讯作者
(67)"Summer Predictability Barrier" of Indian Ocean Dipole Events and Corresponding Error Growth Dynamics. JGR-Ocean, 2018. 通讯作者
(68)Possible sources of forecast errors generated by the global/regional assimilation and prediction system for landfalling tropical cyclones. Part II: model uncertainty. Adv. Atmos. Sci., 2018.
(69)Investigating the initial errors that cause predictability barriers for IOD events using CMIP5 model outputs. Advances in Atmospheric Sciences, 2018. 通讯作者
(70) Towards optimal observational array for dealing with challenges of El Niño-Southern Oscillation predictions due to diversities of El Niño. Climate Dynamics, 2018.第一作者
(69)季风与ENSO的选择性相互作用：年循环和春季预报障碍的影响。大气科学，2018
(70)粒子滤波同化在厄尔尼诺-南方涛动目标观测中的应用。大气科学，2018. 第一作者
(71)Predictability of El Niño-Southern Oscillation Events.Oxford Research Encyclopedia of Climate Science, 2018. 第一作者
(72)The application of nonlinear local Lyapynov vectors to the Zebiak-Cane model and their performance in ensemble prediction. Clim Dyn. 2017.
(73)耦合模式中北太平洋和北大西洋海表面温度年代际可预报性和预报技巧的季节依赖性，地球科学进展，2017.
(74)The predictability of atmospheric and oceanic motions: Retrospect and prospects.Science China: Earth Sciencess, 2017. 通讯作者
(75)On the "spring predictability barrier" for strong El Nino events as derived from an intermediate coupled model ensemble prediction system. SCIENCE CHINA Earth Sciences, 2017. 通讯作者
(76)Nonlinearity Modulating Intensities and Spatial Structures of Central Pacific- and Eastern Pacific-El Niño Events. Adv. Atmos. Sci., 2017.第一作者
(77)Relationship between optimal precursors for Indian Ocean Dipole events and optimally growing initial errors in its prediction. Journal of Geophysical Research: Oceans, 2017.
(78)Reducing the prediction uncertainties of high-impact weather and climate events: an overview of studies at LASG. Journal of Meteorological Research. 2017.第一作者
(79)Numerical Analysis of the Mixed 4th-Order Runge-Kutta Scheme of Conditional Nonlinear Optimal Perturbation Approach for the El Nino-Southern Oscillation Model, Adv. Appl. Math. Mech., 2016.
(80)The role of nonlinear forcing singular vector tendency error in causing the "spring predictability barrier" for ENSO. Journal of Meteorological Research, 2016.第一作者
(81)IOD-related optimal initial errors and optimal precursors for IOD predictions from reanalysis data. SCIENCE CHINA Earth Sciences. 2016，通讯作者
(82)Seasonal predictability of sea surface temperature anomalies over the Kuroshio-Oyashio Extension: low in summer and high in winter, JGR-Ocean, 2016,通讯作者
(83)Time-scale Decomposed Threshold Regression Downscaling Approach to Forecasting South China Early Summer Rainfall, Advances in Atmospheric Sciences, 2016,通讯作者
(84)Relationship between optimal precursory disturbances and optimally growing initial errors associated with ENSO events: Implications to target observations for ENSO prediction. Journal of Geophysical Research - Oceans, 2016.通讯作者
(85)Estimating observing locations for advancing beyond the winter predictability barrier of Indian Ocean dipole event predictions, Climate Dynamics,2016. 通讯作者
(86)Comparison of constant and time-variant optimal forcing approaches in El Niño simulations by using the Zebiak-Cane model. Adv. Atmos. Sci., 2016. 通讯作者
(87)An approach to generating mutually independent initial perturbations for ensemble forecasts: orthogonal conditional nonlinear optimal perturbations. J. Atmos. Sci., 2016. 第一作者
(88)Application of Conditional Nonlinear Optimal Perturbation to Targeted Observation Studies of the Atmosphere and Ocean, J. Meteor. Res,. 2015
(89)关于线性奇异向量和条件非线性最优扰动差别的一个注记。气候与环境研究，2015，通讯作者
(90)The influence of boreal winter extratropical North Pacific Oscillation on Australian spring rainfall, Clim Dyn, 2015, 通讯作者
(91) Dynamics of nonlinear error growth and the "spring predictability barrier" for El Nino predictions. Duan Wansuo, Mu Mu, Chapter 5 in Climate Change edited by Chin-Pei Chang, Michael Ghil, Mojib Latif, and John M. Wallace. World Scientific Series on Asian-Pacific Weather and Climate, 2015.
(92)Comparison of the initial errors most likely to cause a spring predictability barrier for two types of El Nino event. Clim Dyn, 2015, 通讯作者
(93) Interannual Relationship between the Winter Aleutian Low and Rainfall in the Following Summer in South China, Atmos. Oceanic Sci. Lett, 2015,通讯作者
(94) The initial errors that induce a significant “spring predictability barrier” for El Nino events and their implications for target observations:results from an earth system model,Clim Dyn, 2015,第一作者
(95) Target observations for improving initialization of high-impact ocean-atmospheric environmental events forecasting, National Science Review,2015, 通讯作者
(96) The “winter predictability barrier” for IOD events and its error growth dynamics: results from a fully coupled GCM, Journal of Geophysical Research: Oceans, 2014, 通讯作者
(97) Influence of Positive/Negative Indian Ocean Dipole on Pacific ENSO through Indonesian Throughflow: results from Sensitivity Experiments, Adv. Atmos. Sci., 2014, 通讯作者
(98) Revealing the most disturbing tendency error of Zebiak-Cane model associated with El Nino predictions by nonlinear forcing singular vector approach，Climate Dynamics，2014，第1作者
(99) Season-dependent predictability and error growth dynamics of Pacific Decadal Oscillation-related sea surface temperature anomalies，Climate Dynamics，2014，第1作者
(100) Study on the “winter persistence barrier” of Indian Ocean dipole events using observation data and CMIP5 model outputs，Theoretical and Applied Climatology，2014，通讯作者
(101) A SVD-based ensemble projection algorithm for calculating conditional nonlinear optimal perturbation, SCIENCE CHINA: Earth Sciences，2014，第2作者
(102) Using CMIP5 model outputs to investigate the initial errors that cause the “spring predictability barrier” for El Niño events, SCIENCE CHINA: Earth Sciences, 2014，通讯作者
(103) ENSO预测的目标观测敏感区在热带太平洋海温的多模式集合预报中的应用，大气科学，2014，通讯作者
(104) Time-dependent nonlinear forcing singular vector-type tendency error of the Zebiak-Cane model, Atmos. Oceanic Sci. Lett., 2014，通讯作者
(105)The combined effect of initial error and model error on ENSO prediction uncertainty generated by the Zebiak-Cane model, Atmos. Oceanic Sci. Lett., 2014，通讯作者
(106) The spatial patterns of initial errors related to the “winter predictability barrier” of the Indian Ocean dipole, Atmos. Oceanic Sci. Lett., 2014，通讯作者
(107) Conditions under which CNOP Sensitivity Is Valid for Tropical Cyclone Adaptive Observations，Quarterly J. RMS，2013，通讯作者
(108) 条件非线性最优扰动方法在可预报性研究中的应用，大气科学，2013，第2作者
(109) 数值天气预报和气候预测可预报性研究的若干动力学方法，气候与环境研究，2013，第1作者
(110) Climate Variability and Predictability at Various Time Scales，Advances in Meteorology，2013，第3作者
(111) Seasonal modulations of different impacts of two types of ENSO events on tropical cyclone activity in the western North Pacific，Climate Dynamics，2013，第4作者
(112) Modulation of PDO on the predictability of the inter-annual variability of early summer rainfall over South China，JGR-Atmosphere，2013，第1作者
(113) Simulations of two types of El Nino events by an optimal forcing vector approach，Climate Dynamics，2013，第1作者
(114) The role of nonlinearities associated with air-sea coupling processes in El Nino’s peak-phase locking，Sciences in China (D)，2013，第1作者
(115) Behaviors of nonlinearities modulating El Nino events induced by optimal precursory disturbance，Climate Dynamics，2013，第1作者
(116) The role of constant optimal forcing in correcting forecast model，Sciences in China (D)，2013，通讯作者
(117) Nonlinear forcing singular vector of a two-dimensional quasi-geostrophic model，Tellus-A，2013，第1作者
(118) Does model parameter error cause a significant spring predictability barrier for El Nino events in the Zebiak-Cane model，J. Climate，2012，通讯作者
(119)Contribution of the location and spatial pattern of initial error to uncertainties in El Nino predictions，JGR-Ocean，2012，第3作者
(120) The spring predictability barrier for ENSO predictions and its possible mechanism: results from a fully coupled model，Inter. J. Climatology，2012，第1作者
(121) The amplitude-duration relation of the observed El Nino events，Atmos. Oceano. Sci. Lett.，2012，通讯作者
(122) 四个耦合模式ENSO后报试验的“春季预报障碍”，气象学报，2012，第3作者
(123)Progresses in the studies of nonlinear atmospheric dynamics and predictability for weather and climate in China （2007-2010），Adv. Atmos. Sci.，2012，第5作者
(124) Can the Uncertainties of Madden–Jullian Oscillation Cause a Significant Spring Predictability Barrier for ENSO Events，Acta Meteorologica Sinica.，2012，第2作者
(125) Effect of Stochastic MJO Forcing on ENSO Predictability，Adv. Atmos. Sci.，2011，通讯作者
(126) A new strategy for solving a class of nonlinear optimization problems related to weather and climate predictability，Adv. Atmos. Sci.，2010，第1作者
(127) An extension of conditional nonlinear optimal perturbation approach and its applications，Nonlin. Processes Geophys，2010，通讯作者
(128) The “Spring Predictability Barrier” Phenomenon of ENSO Predictions Generated with the FGOALS-g Model，AOSL，2010，通讯作者
(129) Is model parameter error related to spring predictability barrier for El Nino events，Adv. Atmos. Sci，2010，第1作者
(130) Conditional nonlinear optimal perturbation: applications to stability, sensitivity, and predictability，Science in China (D)，2009，第1作者
(131) Dynamics of nonlinear error growth and season-dependent predictability of El Nino events in the Zebiak-Cane model，Quarterly Journal of Royal Meteorological Society，2009，第2作者
(132)Decisive role of nonlinear temperature advection in El Nino and La Nina amplitude asymmetry，J. Geophysical Research，2009，第1作者
(133) Exploring the initial error that causes a significant spring predictability barrier for El Nino events，J. Geophysical Research，2009，第1作者
(134) 赤道高频纬向风强迫对ENSO强度的影响，气候与环境研究，2009，第2作者
(135) Zebiak-Cane数值模式的可预报性分析，气候与环境研究，2008，第2作者
(136) What kind of initial errors cause the severest prediction uncertainties for El Nino in Zebiak-Cane model，Adv. Atmos. Sci.，2008，通讯作者
(137) Investigating a nonlinear characteristic of ENSO events by conditional nonlinear optimal perturbation，Atmospheric Research，2008，第1作者
(138) Season-dependent dynamics of nonlinear optimal error growth and ENSO predictability in a theoretical model，Journal of Geophysical Research，2007，第1作者
(139) A kind of initial errors related to “spring predictability barrier“ for El Nino event in Zebiak-Cane model，Geophysical Research Letters，2007，第3作者
(140) Progress in predictability studies in China (2003-2006)，Adv. Atmos. Sci.，2007，第1作者
(141) Investigating decadal variability of El Nino-Southern Oscillation asymmetry by conditional nonlinear optimal perturbation，J. Geophysical. Research，2006，第1作者
(142) Applications of conditional nonlinear optimal perturbation in predictability study and sensitivity analysis of weather and climate，Adv. Atmos. Sci.，2006，通讯作者
(143) 用非线性最优化方法研究El Nino可预报性的进展与前瞻，大气科学，2006，第1作者
(144) The Tangent Linear Model and Adjoint of a Coupled Ocean-Atmosphere Model and Its Application to the Predictability of ENSO，International Geoscience and Remote Sencing Symposium，2006，第2作者
(145) 数值模式误差对降水四维变分资料同化及预报的影响，气候与环境研究，2006，第2作者
(146) Applications of nonlinear optimization method to the numerical studies of atmospheric and oceanic sciences，Appl. Math. Mech.，2005，第1作者
(147) Applications of nonlinear optimization methods to quantifying the numerical model for ENSO，Progress in Natural Sciences，2005，第1作者
(148) Recent advances in predictability studies in China (1999-2002)，Adv. Atmos. Sci.，2004，第2作者
(149) Conditional nonlinear optimal perturbation as the optimal precursors for El Nino-Southern Oscillation events，J. Geophy. Res.，2004，第1作者
(150) Chaotic and resonant streamlines in quasi-symmetric flows，Mathematic Applicata，2004，第1作者
课题成员
在职职工
孙国栋，研究员；研究方向：陆面过程模拟不确定性
周菲凡，副研究员；研究方向：台风可预报性
秦晓昊，副研究员；研究方向：台风可预报性
冯蓉，副研究员；研究方向：印度洋偶极子可预报性
徐辉，助理研究员；研究方向：ENSO可预报性
在读学生
2023级
赵群，硕士生；徐小天，硕士生；闫柳池，直博生
2022级
朱弈洁，硕士生；游灿，直博生；侯光栅，直博生
2021级
李永辉，硕士生，目标观测和卫星资料同化；侯雨轩，硕士生，台风集合预报；庄逸，直博生，火星大气可预报性；张晶晶，博士生，ENSO可预报性
2020级
茹易，硕士生，IOD可预报性；汪小云，博士生，MJO可预报性
2019级
胡蕾，博士生，ENSO集合预报
2018级
张晗，博士生，热带气旋集合预报
已出站博士后
杨丽超，博士，首都师范大学
已毕业学生
2023届
张一驰，博士，怀柔实验室；麻俊杰，博士，中北大学；郑颖聪，博士，盘锦气象局；茹易，硕士，山西省气象局
2022届
姜琳，博士，山东大学海洋研究院；李文瑶，硕士，兰州中心气象台
2021届
姚佳伟，博士，国家海洋环境预报中心
2020届
陶灵江，博士，复旦大学；侯美夷，博士，河海大学
2019届
温茜茜，博士，中科院南海海洋研究所
2018届
刘娜，硕士，北京英视睿达科技有限公司；李绪泉，博士，嘉实基金管理有限公司；刘达，博士，国家气象中心；齐倩倩，博士，国家气象中心；汪叶，博士，河南大学
2017届
黄朝铭，博士，江西农业大学
2016届
胡均亚，博士，中国科学院海洋研究所；封凡，博士，成都信息工程大学；霍振华，博士，国家气象中心
2015届
武于洁，博士，中国气象局国家气候中心；宋林烨，博士，北京城市研究所；陈磊，博士，上海市气象局；张璟，博士，美国NOAA
2014届
赵 鹏，博士，中国气象局培训中心；田奔，博士，国家气候中心
2012届
张蕊，硕士，美国
2011届
张雅乐，博士，中国气象局培训中心；彭跃华，硕士，大连
2010届
魏 超，硕士，国家气候中心
2007届
刘新超，硕士，四川省气象局